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Role description

Devops Engineer, US

Ema logoEma
TypeFull-time
WorkplaceOn-site
SeniorityMid-level
LocationMountain View, CA
Posted9/28/2026
Engineering

About Ema
Ema builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboarding and benefits to IT support, invoice processing and payroll, so people can spend their time on work that needs them. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs.

We are backed by industry leading investors including Accel, Naspers/Prosus, Creaegis, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production. We ship real systems that run real business processes at scale.

The Role
Build and manage the infrastructure that powers Ema's AI platform. You'll design cloud systems,

automate deployments, and ensure everything scales reliably to support millions of enterprises.

What You Own
Build and maintain Kubernetes clusters and cloud infrastructure

Automate infrastructure provisioning with Terraform and Ansible

Implement CI/CD pipelines for fast, safe deployments

Build observability systems (logging, monitoring, alerting)

Ensure security, performance, and reliability at scale

Support multi-tenant SaaS architecture and scaling

Qualifications
Required
4+ years DevOps, SRE, or platform engineering experience

Expert-level Kubernetes and containerization knowledge

Terraform and infrastructure-as-code proficiency

Cloud platform mastery (AWS/GCP/Azure)

Strong systems thinking and distributed systems knowledge

B.Tech in CS/ECE from IIT/NIT/IIIT/BITS or equivalent

Preferred
Multi-cloud experience

Helm charts and deployment automation

Monitoring tools (Prometheus, Grafana, Datadog)

CI/CD platforms (GitHub Actions, ArgoCD)

ML infrastructure experience

Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.

Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.

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Company info

Ema logo

Ema

Ema builds agentic AI Employees for HR, IT, and Finance. They don't just automate workflows; they redesign them around the desired outcome and execute across every enterprise system. HR AI Employees automate work across the full hire-to-retire journey, from recruiting and onboarding to benefits and performance. IT AI Employees resolve tickets, provision access, and reset passwords while respecting your security and compliance controls. Finance AI Employees collect receivables, validate invoices, close the books, and run payroll. The results: Wipro deployed Ema across 240,000 associates, cutting HR response times from days to seconds and HR ops costs by 45%. Hitachi went from concept to production in 4 weeks across 20+ systems of record. Built on 1,000+ prebuilt integrations and governed by design: SOC 2 Type II, ISO 27001, ISO 42001, GDPR, and EU AI Act, with on-prem and air-gapped deployment available. Learn more at ema.ai.

Series A
HQSan Francisco, US
Size5,001 employees
Unlock human wisdom
ThesisTermsPrivacy
Funding
  • Series A
Tech stackkandji, jenkins, redis, neo4j, resonate, launchpad, envoy, bridge, elasticsearch, enable-lms

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